5 citations · 6 across the 2 of their papers we have counts for
4 papers
Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator
James A. Preiss, Sébastien M. R. Arnold, Chen-Yu Wei +1
We study the variance of the REINFORCE policy gradient estimator in environments with continuous state and action spaces, linear dynamics, quadratic cost, and Gaussian noise. These…
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors
Artem Molchanov, Tao Chen, Wolfgang Hönig +3
Quadrotor stabilizing controllers often require careful, model-specific tuning for safe operation. We use reinforcement learning to train policies in simulation that transfer remar…
Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams
Ragesh K. Ramachandran, James A. Preiss, Gaurav S. Sukhatme
We propose a method to maintain high resource in a networked heterogeneous multi-robot system to resource failures. In our model, resources such as and computation are available on…
Observability-Aware Trajectory Optimization for Self-Calibration with Application to UAVs
Karol Hausman, James Preiss, Gaurav Sukhatme +1
We study the nonlinear observability of a systems states in view of how well they are observable and what control inputs would improve the convergence of their estimates. We use th…